Aglet

Prioritize API pagination gaps by downstream impact

Pagination failures do not all damage the same workflow. A missed audit record, a repeated write input, and a stale display need different queue positions. Weigh the affected operation, data consequence, checkpoint confidence, and cost of a safe replay before changing page size or cursor handling.

Decide where the work belongs

  1. Measure what the gap changes

    For each query, list missing or repeated identifiers, downstream jobs, and any durable state affected. Compare a read used for display with a read that drives writes or reconciliation. Preserve the query and checkpoint evidence behind each impact claim.

  2. Compare recovery cost

    Assess a bounded page replay, a fresh snapshot, a readback comparison, or a temporary hold. Record whether the dataset can change during recovery and whether duplicates are safe. Do not choose a full reload solely because the gap is hard to count.

  3. Set the page queue

    Choose one operation, owner, evidence threshold, and review time. Put gaps that can alter durable records or hide tenant work first. Keep a cosmetic ordering issue behind an unknown identifier range until the missing scope is measured.

What to carry forward

Return a pagination queue with identifier impact, query shape, replay safety, owner, and a reprioritization trigger. Escalate gaps that can write or omit durable records. Mark the order provisional when mutable data or cursor validity cannot be established.

Technical background: Contentful technical guide.

Keep the decision with the work.

Use a Work Item in Aglet to record the problem, the evidence you have, and the next decision. Add an owner and priority, then keep updates in the discussion so the next person can follow the reasoning.

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